This is a lot to hold in your head at once.
Choose a project where you drove significant business impact through technical decisions, and structure your answer as a narrative that connects the problem, your actions, and measurable outcomes. Emphasize trade-offs you evaluated and how you validated success with data, while being honest about challenges and learnings.
Pro tip: Quantify impact in terms of Uber's key metrics (e.g., trips, ETAs, driver utilization) and show how your technical choices directly moved those numbers. Also, briefly mention how you collaborated with product, data science, or operations teams to ensure alignment.
Briefly describe the project's goal, why it mattered to Uber's business, and the scale (e.g., number of users, trips, or revenue impacted). Avoid deep technical details here; focus on the 'why'.
Clarify your specific responsibilities and the key technical choices you made. Explain the alternatives you considered and why you chose your approach, highlighting trade-offs (e.g., latency vs. cost, consistency vs. availability).
Describe the metrics you used to evaluate the project's success (e.g., reduced latency, increased conversion, cost savings) and how you tracked them. Mention any A/B tests, dashboards, or experiments you ran.
Pick a genuine technical or organizational challenge you faced, explain why it was difficult, and how you overcame it. Show problem-solving and resilience.
Share what you learned and what you would do differently next time, demonstrating self-awareness and growth mindset. Tie it back to how it improved your subsequent work.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.